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Applied Computational Biology and Statistics in Biotechnology and Bioinformatics


“Applied Computational Biology and Statistics in Biotechnology and Bioinformatics”: ISBN9789380235929; Year2012; Pages1172 pages, 25cm; Language;English
 Editor: Ajit Kumar Roy: Consultant (Statistics), Department of Economics and Statistics, College of Fisheries, Central Agricultural University, Lembucherra-799 210, Agartala, Tripura (W), India
http://www.nipabooks.com/books/detail/9789380235929.jpgThe book entitled “Applied Computational Biology and Statistics in Biotechnology and Bioinformatics” is aimed to cater to the growing demand of academia, researchers and commercial ventures. Altogether there are forty-four chapters divided into the following broad sections like 1. Bioinformatics, Genomics and Proteomics, 2. Phylogeny 3. Drug Design and Epigenomics 4. Advanced Computational Tools and Techniques 5. Statistical methods for computational biology, data mining and visualization 6. Socio Economics and Ethics. This book presents the foundations of key problems in computational molecular biology and bioinformatics. It contains basic molecular biology concepts, tools, techniques and ways to measure sequence similarity, presents simple applications of searching sequence databases. After introducing methods for aligning multiple biological sequences and genomes, the text explores applications of the phylogenetic tree, methods for comparing phylogenetic trees, the problem of gene expression and motif finding. Interestingly, it is attempted to introduce computational biology without formulas that presents the biological and computational ideas in a relatively simple manner. It focuses on computational and statistical principles applied to genomes, and introduces the computational statistics that are crucial for understanding and visualization of problems. This makes the material accessible to Statistician and computer scientists without biological training, as well as to biologists with limited background in Statistics and computer science. Furthermore, one chapter has been exclusively devoted to computational biology and computational statistics as applied in biotechnology illustrated with methodology, application and interpretation of results. More than four hundred figures, illustrations and diagrams reinforce concepts and present key results from the primary literature that will be very much useful to grasp on the subject, visualize the output and make right interpretation of the result.
The book will be useful for all those working in Biotechnology sector in general and particularly researchers working in the laboratories of ICAR, CSIR, SAU’s and many more institutions engaged R&D activities.
Contents
Foreword
Preface
List of Contributors
Part-1: 1. Bioinformatics, Genomics and Proteomics
Chapter-01 Microarrays: Introduction, Applications and Data Analysis by Chirayu Goswami
Chapter-02 Functional Genomics by Sudipa Chakravarty and Amit Chakravarty
Chapter-03 Software Tools and Resources for Bioinformatics Research by Anil Raj, Jyotika Bhati and S.B. Lal
Chapter-04 Databases, Web Resources and Computational Tools Useful for Bioinformatics Research by Anindya Sundar Barman and Mamta Singh
Chapter-05 An Insight into Uniparental Gene Silencing and Assessment of Genomic Affinities of Different Species by R.S. Talluri
Chapter-06 Bioinformatics and Biotechnological Studies in One of the Highly Valuable Plants Crocus sativus L.: A State of the Art by Hilal Khaliq, Dinesh Parmar and N.C. Sharma
Chapter-07 A Review of Computational Biology and Bioinformatics Driven Research in Indian Catfish by Surajit Debnath
Chapter-08 Recent Trends in Fish Genomics by N.S. Nagpure, Arunima Kumar Verma, S.P. Sngh and U.K. Sarkar
Chapter-09 Advances in Proteomics: Principles, Methods and Bioinformatics by Suman Patel
Chapter-10 Expressed Sequence Tags (ESTs): Resource for in silico Prediction of SSR and SNP by Rajender Singh and Sonia Sheoran
Chapter-11 Structure and Functional Analysis of The Putative beta-galactosidase in Zymomonas mobilis by S. Sheik Asraf, K.N. Rajnish and P. Gunasekaran
Chapter-12 Chromosomes and Nuclear DNA Amounts to Deduce Evolutionary Relationship of The Species by R.S. Talluri
2. Phylogeny
Chapter-13 Molecular Evolution and Phylogenetic Analysis by Chirayu Goswami
Chapter-14 Computational Phylogenicity of Biological Pathways: A Study of Some TCA Cycles by Losiana Nayak, Namrata Tomar and Rajat K. De
Chapter-15 Plant DNA Barcoding: Molecular Phylogeny-Tracking by Nano Devices by R.S. Talluri
Chapter-16 Phylogenetic Analysis of Microbes using Bioinformatic Tools by Showkat A. Lone and Jasdeep Chatrath Padaria
Chapter-17 Construction of Phylogenetic Tree: Methods with An Empirical Example of rdnA Sequence by Mamta Singh and Anindya Sundar Barman
Chapter-18 Barriers of Gene Flow and Crossability of Species in Relation to Phylogenic Position by R.S. Talluri
3. Drug Design and Epigenomic
Chapter-19 High Throughput Biomedical Instrumentations and Use in Medical Bioinformatics by Anjan Roy, Vikramjit Poddar and Ajit Kumar Roy
Chapter-20 Epigenetic Regulation of the Genome and Personalized Medicine by Amit Chakravarty and Sudipa Chakravarty
Chapter-21 Computational Toxicology: A Powerful Tool Towards the Drug Designing by Sunil Kumar Tripathi, Poonam Singh and Sanjeev K. Singh
Chapter-22 Modern Quantum Mechanical Methods Applied to Accurate in Silico Drug Designing by Arpita Yadav, Minakshi Sonker and Abhay Krishna
Chapter-23 Active Sites Prediction on Molecular Modeling Studies by Selvaraj C., Sunil Kumar Tripathi and Sanjeev Kumar Singh
Chapter-24 Bioinformatics Approaches in Phytoremediation by Sudeep Roy, Dwijendra K. Gupta and Ashok Sharma
Part-2: 4. Advanced Computational Tools and Techniques
Chapter-25 Machine Learning Methods for Bioinformatics by H.C. Verma
Chapter-26 Biclustering of Gene Microarray Data Using Multi-Objective Evolutionary Optimization Algorithms by Sourav Sikdar, Arghya Kumar Pal, Veera Talukdar and Amit Konar
Chapter-27 Computational Approaches to Protein Domain Identification by Nita Parekh
Chapter-28 Computational Methods in Protein Engineering and Design by Divya P. Syamaladevi
Chapter-29 Conceptualization of Converging Nanotechnology and Bioinformatics: Applications in Medicine by Abhishek Shukla, Pranjal Chandra, Pallavi Somvanshi, Tanmaya Kumar Sahu, Neelima Garg, Muthukumar M. and Bhartendu Nath Mishra
Chapter-30 Potential Web Based Computational and Communicational Tools to Impact Agriculture in India by Acushla Antony
Chapter-31 DNA Barcoding – Present Status and Future Prospects with Special Reference to Fisheries Sector by Ranendra K. Majumdar
Chapter-32 Advanced Spatial Planning Tools for Integrating Environmental Data into Bioinformatics and Conservation of Biodiversity by M. Jayanthi
Chapter-33 Application of GPS, GIS and Related Techniques in the Diagnosis and Management of Plant Diseases by S. Saha, A.B. Rai and B.K. Sharma
Chapter-34 Application of Artificial Neural Network for Prediction of Rice Yields in Andaman and Nicobar Islands by M. Balakrishnan, N. Ravisankar, R.C. Srivastava and K. Singh
Chapter-35 Application of Innovative Biotechnological Tools in Food Processing Industries by A.A. Fazal and G. Vidya Sagar Reddy
5. Statistical Methods for Computational Biology, Data Mining and Visualisation
Chapter-36 An Insight to Application of Computational Statistics and Computational Biology in Bioinformatics by Ajit Kumar Roy
Chapter-37 Advanced Statistical Methods in Bioinformatics by Piyush Kant Rai
Chapter-38 Areas of Application of Statistical Tools in Agricultural Bioinformatics by C. Sarada, R. Venugopalan and K. Alivelu
Chapter-39 Theory of Probability and its Application in Bioinformatics by Satyabrata Pal and Subhabaha Pal
Chapter-40 Distribution Free Tests for Microarray Data by K. Alivelu, C. Sarada and M. Padmaiah
Chapter-41 Data Mining and Pattern Analysis of Molecular Data Through Principal Component Analysis by Ravi R. Saxena, Shiv Narayan Sharma, Zenu Jha and Ritu R. Saxena
Chapter-42 Data Mining and Text Mining in Bioinformatics by Karnati Konda Reddy and Sanjeev K. Singh
6. Socio Economics and Ethics
Chapter-43 Current Socio-economic and Environmental Issues of Genetically Modified Crops in Indian Context by A.D. Upadhyay and D.K. Pandey
Chapter-44 Overview of Ethics and Issues of Biotechnologically and Genetically Modified Crops by Biswarup Saha

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